SUPPLEMENT ARTICLE

Behavioral Interventions to Prevent HIV Transmission and Acquisition for Transgender Women: A Critical Review Robert Garofalo, MD, MPH,* Lisa M. Kuhns, PhD, MPH,† Sari L. Reisner, ScD,‡ and Matthew J. Mimiaga, ScD, MPH§

Abstract: Worldwide, transgender women are at disproportionately higher risk of HIV infection, with the primary mode of infection being condomless anal intercourse. Although very few HIV prevention interventions have been developed and tested specifically for transgender women, growing evidence suggests that behavioral HIV risk reduction interventions for other marginalized groups are efficacious. We outline the current state of knowledge and areas in need of further development in this area. Key Words: HIV, transgender, behavioral intervention, young adults (J Acquir Immune Defic Syndr 2016;72:S220–S225)

INTRODUCTION Background HIV Risk Among TW Globally, the prevalence of HIV and other sexually transmitted infections (STIs) is disproportionately higher among transgender women (TW), particularly ethnic minority and younger TW. Because HIV-related surveillance data are not uniformly collected by gender identity, data on HIV infection among TW are lacking; however, data from local health departments, meta-analyses, and multi-city studies using convenience sampling methods demonstrate high levels of HIV From the *Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL; †Feinberg School of Medicine, Northwestern University; ‡Boston Children’s Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health; and §Harvard T.H. Chan School of Public Health, Boston, MA, Brown University School of Public Health, Providence, RI. Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health under Award Number R01MH094323. The project described was also supported, in part, by the Northwestern University Clinical and Translational Science Institute, Grant Number UL1TR000150 from the National Center for Advancing Translational Sciences, Clinical and Translational Sciences Award (CTSA). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The CTSA is a registered trademark of the U.S. Department of Health and Human Services (DHHS). The authors have no conflicts of interest to disclose. Correspondence to: Robert Garofalo, MD, MPH, Ann & Robert H. Lurie Children’s Hospital of Chicago, 225 E. Chicago Avenue, #161, Chicago, IL 60611 (e-mail: [email protected]). Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially.

S220

| www.jaids.com

infection among TW in the United States and other countries worldwide.1 A meta-analysis of the global burden of HIV infection in TW documented an HIV prevalence of 19% (95% CI: 17 to 21); TW had a 49-fold increased odds of HIV infection compared with all adults of reproductive age.2 In the United States, a meta-analysis of 29 studies with TW3 showed an HIV prevalence of 28% through laboratory-confirmed blood samples (4 studies) and 12% through self-report (18 studies). Data from local testing of over 500 TW with no known previous positive HIV test results in Miami, San Francisco, and Los Angeles found 12% HIV infection, suggesting a high percentage of undiagnosed HIV infection in this population.4 In an analysis of these newly diagnosed HIV infections by age, the highest number were detected among those ages 20–29 years (ie, 45% of all cases).4 Studies among young TW, in particular ages 16–29 years, have documented prevalence of HIV infection approaching those of adults.5–7 In addition, Garofalo et al found that much like in other high-risk populations (ie, men who have sex with men; MSM), racial/ethnic minority TW have higher prevalence of HIV and STIs but lower rates of sexual risk behavior, particularly among Black TW.5 Condomless anal intercourse (CAI) represents TW’s primary risk for HIV acquisition and transmission. In the review of 29 U.S. studies referred to above, the average prevalence of any receptive CAI was 44%; 32% of TW reported multiple sex partners (primarily nontransgender males) and 48.3% reported sex with casual partners (within varying recall periods). 3 Among younger TW in Chicago, Garofalo et al5 found 59% reported any CAI in the last year (49% receptive and 37% insertive). Reisner et al8 found a similar estimate of 52% recent CAI among a cohort of younger TW in Boston. Although evidence among TW specifically is not available, recent findings among MSM suggest that inconsistent condom use during anal sex with HIV-infected partners offers little to no protection against HIV infection, and that consistent condom use over time is rare.9 There are specific structural, developmental, and interpersonal challenges to sexual safety faced by TW. Social structures and conditions include discrimination, mistreatment, and adversity in the form of rejection from friends, family, and others, which can become a central part of TW’s experience,5,7,10–13 affecting the ability to secure housing, employment, social services, and health care beginning in early adulthood. This basic struggle for survival undermines TW’s ability to prioritize and practice safer sex.14,15 In addition, transactional sex is associated with CAI and HIV infection in

J Acquir Immune Defic Syndr  Volume 72, Supplement 3, August 15, 2016

J Acquir Immune Defic Syndr  Volume 72, Supplement 3, August 15, 2016

TW, and economic pressures often result in TW compromising safer sex practices for monetary incentives.16–19 Previous studies of TW suggest high prevalence of previous incarceration (;20%),20 largely related to arrest and conviction for commercial sex work. Evidence suggests that both history of sex work and incarceration are related to the psychosocial factors, which often drive HIV risk.21 Furthermore, the legal problems encountered by TW may serve as barriers to HIVrelated services and access to health care.22 The HIV prevention and care continuum is not wellcharacterized in TW, although evidence is emerging of low prevalence of care initiation and engagement.23–26 Pre-exposure prophylaxis (PrEP) efficacy and demonstration projects provide evidence of safety, tolerability, and efficacy of PrEP to prevent HIV acquisition,27–29 with some evidence of effectiveness in TW.30 The limited studies conducted to date suggest that initiation and uptake of PrEP among TW is alarmingly low despite the complex profiles of HIV risk in this group. Analysis of data from an ongoing interventional study of younger TW found that only 5% of the sample had initiated PrEP, although 62% were indicated for PrEP based on Centers for Disease Control and Prevention (CDC) criteria; furthermore, only 31% of the sample had ever heard of PrEP, but 69% expressed interest once PrEP was described.31 This is echoed by 2 California-based studies: one study of TW in San Francisco, which demonstrated that fewer than 20% of TW had ever heard of PrEP32; and a second qualitative study of 30 MSM and TW in 3 California metro areas suggesting that while awareness of PrEP was relatively low, expressed interest once PrEP was described was quite high (76%).33 Although very little research has been performed about TW within the HIV continuum of care, limited evidence suggests that HIV-infected TW are less likely than other groups to be on antiretroviral therapy (ART) and, if on ART, are less likely to be adherent.24,34 There is also some evidence suggesting that transgender-specific factors are related to ART adherence in adult TW, including gender affirmation and adherence to cross-sex hormone therapy.26

HIV Prevention Interventions for TW Despite research documenting high prevalence of CAI and HIV infection among TW, there are no interventions developed specifically for TW in the CDC compendium of evidenced-based interventions. Only 5 U.S.-based HIV prevention interventions have been published in the peerreviewed literature; all of which are early-phase nonrandomized interventions (Table 1; see Poteat et al40 for a review of global interventions). Four of these studies (Bockting, Nemoto, Taylor, and Garofalo)35,36,38,39 documented modest reductions in HIV risk and/or improvements in HIV knowledge and attitudes among TW, with some evidence that effects diminished over time (Bockting).35 Three of the studies (Bockting, Taylor, and Garofalo) reference a specific behavioral theory as part of their formative intervention development.

Theoretical Models for HIV Risk Reduction Interventions Among TW Interventions designed to change behaviors such as reductions in the risky sexual activities that lead to the Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

Behavioral Interventions

acquisition or transmission of HIV infection should be theory based.41 Using a theoretical framework to guide the contents of an HIV prevention intervention provides a means to empirically test the mechanisms of change (ie, the underlying theoretical constructs—hypothesized mediators—that produce a desired change in a behavioral health outcome). Whether implicitly or explicitly, nearly all HIV prevention interventions are informed or based on on some element of behavioral theory. Most rely at least somewhat on the assumption that providing information and education about HIV transmission and prevention may lead to behavioral change. Yet research has proven time and time again that education alone is insufficient to induce effective behavioral change among most individuals.42–44 Thus, behavioral interventions were developed based on psychosocial and cognitive approaches that may, for example, educate individuals in practical skills and enhance their confidence in their ability (ie, self-efficacy) to reduce their risk for HIV.45 A number of behavioral change theories and models have demonstrated efficacy across diverse populations including the Health Belief Model,46,47 Social Cognitive Theory,48 Transtheoretical Stages of Change Model,49 the Theory of Reasoned Action,50 and the Information, Motivation, and Behavior (IMB) Model.51 None of these models are specific to TW, meaning that they do not by definition provide a conceptual target for the unique underlying mechanisms of HIV risk among this population. However, 2 have been explicitly applied in previously published HIV prevention interventions for TW: the Health Belief Model (Bockting) and the IMB Model (Taylor). Researchers have increasingly come to realize that for TW, sexual risk behaviors occur in the context of complex socio-cultural factors and environmental determinants of risk, such stigma or discrimination based on transgender status, housing and/or economic instability, and/or transactional sex and that these factors must be considered when designing HIV prevention interventions for this group.18,52 As such, other developmental theories not specific to behavioral change have been used as heuristic models to inform the foci of interventions on transgender-specific social, cultural, and structural influence on sexual risk. For example, the LifeSkills intervention by Garofalo et al used a community-based participatory research approach and Bronfenbrenner’s Social Ecological Theory to guide intervention development for considering the potential impact of discrimination and stigma, as well as related socio-contextual challenges, such as securing housing, employment, and appropriate health care on HIV risk behaviors such as CAI for young TW. Much like the behavioral change models above, Bronfenbrenner’s theory is not specific to conditions affecting young TW but can be applied broadly in a holistic context grounded in this population’s social realities. In recent years, at least 2 transgender-specific heuristic frameworks have been presented in the published literature that may hold promise for consideration in the design of future HIV prevention interventions for TW. Operario and Nemoto52 described the application of syndemic theory or the concept of multiple co-occurring psychosocial health problems specific to HIV risk among TW. This was followed by an empirical test by Brennan and colleagues21 www.jaids.com |

S221

J Acquir Immune Defic Syndr  Volume 72, Supplement 3, August 15, 2016

Garofalo et al

TABLE 1. Published Behavioral HIV Prevention Interventions Among TW Author

Intervention Description

Sample Size

Bockting et al

Prevention education workshop conducted over 3 afternoons

N = 59

Nemoto et al36

18 workshops regarding: (1) N = 109 (completed sex, relationships, and at least 10 health; (2) substance use, workshops) coping skills; and (3) life needs A 1-day HIV prevention N;50 program based on Many Men, Many Voices (3MV) and a community needs assessment 4 group sessions delivered N = 55 over 4 days (stress, stigma, drugs/alcohol, growth/ social support) 6 group sessions delivered N = 51 (ages 16–24) over a 3-wk period

35

DeSantis et al37

Taylor et al38

Garofalo et al39

Design

Theoretical Model

Prepost Health Belief Model

Effects

Funder

Increase in HIV-related American Foundation for knowledge and attitudes, AIDS Research diminished over time; no significant change in risk behavior Significant reductions in Substance Abuse and level of sexual risk; no Mental Health Services significant change in Administration HIV knowledge

Prepost

N/A

Prepost

N/A

No formal outcomes evaluation

Prepost

IMB

Significant reduction in sexual risk

CDC

Prepost Social Ecological Significant reduction in Theory sexual risk

CDC

among 151 young TW ages 16–24 years in Chicago and Los Angeles. They report evidence that multiple health-related psychosocial factors form a syndemic index (eg, low selfesteem, polysubstance use, intimate partner violence, victimization related to transgender identity) among younger TW, which was positively and additively related to sexual risk behaviors and prevalent HIV infection. In addition, the syndemic index was related to 2 indicators of social marginalization: transactional sex and incarceration. Sevelius53 collected data from 22 qualitative interviews with TW of color from the San Francisco Bay Area used an intersectional approach integrating prominent theories from stigma, body objectification, and HIV-related research to propose a gender affirmation framework for HIV risk among this population. Gender affirmation refers to an interpersonal, interactive process whereby a person receives social recognition and support for their gender identity. This framework conceptualizes that the need for gender affirmation among TW is related to engagement in high-risk behaviors and negative health outcomes, such as the acquisition of HIV infection. Overall, the evolution of behavioral models for understanding HIV risk behaviors among TW is a relatively nascent field and more work needs to be performed to better define and elucidate pathways of risk and resilience.

Gilead Sciences

transgender-specific theoretical approaches and proposed measurement and analysis of these factors (eg, IMB change; empowerment; transgender adaptation and integration) as potential mediators of the intervention effect, ie, beyond the original broad and heuristic framework that informed intervention development. We recruited 300 young TW ages 16– 29 years, in 2 U.S. cities (Chicago and Boston) who were randomly assigned 2:2:1 in a 3-arm trial (LifeSkills, standardof-care, and time-matched attention control). In this ongoing trial, participants are followed for 1 year with major assessment visits at baseline, 4, 8, and 12-months postrandomization. Participants were recruited and enrolled between 2012 and 2015, with follow-up visits ongoing through September 2016. Participants were racially/ethnically diverse: 49% Black, 12% Latina, 25% White, and 14% other. At enrollment, 22% of participants were HIV infected (3% previously undiagnosed). Proposed outcome measures included condomless sex acts (eg, both anal and vaginal), as well as the collection of biological specimens for urogenital STIs (eg, gonorrhea and chlamydia) and HIVantibody screening. In this study, we present 6 lessons learned from this trial for consideration in the design of future HIV prevention efforts focused for TW:

Case Study/Lessons Learned: LifeSkills In 2011, after a successful pilot funded by the CDC, LifeSkills became the first full-scale, randomized controlled trial (RCT) examining the efficacy of a group-based, empowerment-focused behavioral intervention for HIV prevention among TW funded by the National Institutes of Health. Given the importance of behavioral theory for HIV prevention interventions as discussed above, we reviewed the LifeSkills intervention content for both behavioral change and

• Ethics of the RCT: RCTs for behavioral HIV prevention research can pose a number of fundamental ethical issues to which researchers and study staff working with TW must give careful consideration. Although a RCT may be the preferred method of demonstrating efficacy of a behavioral intervention, the community may not understand or accept the randomization process particularly in the context of an “epidemic” of HIV infection among TW. In particular in Chicago, where a within person, preposttest design was used during the pilot study,39 the change to the RCT design as part of the current full-scale efficacy trial created, at times,

S222

Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

| www.jaids.com

J Acquir Immune Defic Syndr  Volume 72, Supplement 3, August 15, 2016











a lack of buy-in from community partners and participants. Alternative methods such as crossover or waitlist-controlled designs should be considered, or whenever possible the use of historical controls or another observational method, to be maximally responsive to the needs of the community. The 3-Arm Design: We found that there were a number of disadvantages to a 3-arm design and few benefits. The disadvantages included additional recruitment burden of a relatively rare population and the loss of sample size for the primary outcomes comparison. In addition, some participants provided feedback that the time-matched attention control did not address relevant psychosocial concerns and was an unnecessary time burden. Involving the Community: LifeSkills was developed using a community-participatory design. We involved key members of the target population in all aspects of the curriculum development, as well as the study design and procedures. This proved to critically important to our successful recruitment and retention efforts throughout the project period. Selection of Biological Specimens: Baseline prevalence and incidence of urogenital STIs was very low hampering the use of these data when interpreting the potential impact of the behavioral intervention on surrogate makers of HIV infection. We know from the published literature that rectal STIs and syphilis are indicators of risk for HIV infection in Black MSM27; however, to date, there are no similar studies focused on the link between STI diagnosis and HIV risk in TW. As the National Institutes of Health has increasingly prioritized biological outcomes within the context of behavioral HIV prevention research, it will be important to broaden the collection of specimens to include both rectal STIs and syphilis whenever possible. High Seroprevalence of HIV Infection at Baseline: As mentioned above, the baseline HIV seroprevalence for our sample was 22% (3% previously undiagnosed). This seroprevalence is considerably higher than our team’s previous experience conducting HIV prevention interventions with MSM and young MSM, but consistent with other community-based, convenience samples of HIV prevalence among young TW.5–7 The high seroprevalence is particularly concerning given the relatively young age of our study population (eg, ages 16–29 years). Lessons learned from this finding include the need for interventions to be developed and implemented at young ages, as well as to develop interventions or to include elements of secondary prevention that target not just sexual risk behaviors but all outcomes across the HIV care continuum. Intervention Delivery and the Small Group–Based Format: In both our pilot work and RCT, the LifeSkills intervention was delivered in 2-hour small-group sessions twice per week for 3 consecutive weeks. In the RCT, the overall attendance rate was 79%. Lessons learned regarding the format and session attendance included (1) safety concerns for travel to study sites; (2) difficulty with attendance for participants engaged in sex work because of competing economic needs; (3) some eligible participants were unable to attend sessions at a specific date and time because of competing work or school schedules; (4) because of

Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

Behavioral Interventions

a high rate of incarceration history in the sample (29%), participants on house arrest were unable to attend sessions because of restricted movement; and (5) while the groupbased sessions were empowering for many participants (ie, meeting other young TW), staff reported problems with the group-based dynamic, including mistrust among participants (eg, fear of personal disclosure) and failure to share vulnerabilities. As such, consideration for future interventions may be more individualized approaches, a hybrid design with individual- and group-based components, or the use of mobile platform, to increase the reach, accessibility, and privacy of the intervention.

Other Future Directions and Priority Research Areas One of the current limitations of the published behavioral interventions designed to prevent transmission and acquisition of HIV among TW is that each was designed and implemented before the advent of PrEP. PrEP is a oncedaily fixed combination of tenofovir disoproxil fumarate and emtricitabine that has been shown to reduce the risk of HIV transmission. Studies of PrEP specifically in TW have not been conducted. The iPrEx study of PrEP in MSM and TW found a 44% risk reduction using an intention-to-treat analysis.29 A sub analysis of only the TW in the iPrEx sample found evidence of protection in the context of medication adherence, despite the lack of efficacy using an intention-to-treat analysis.30 Furthermore, in this analysis, there was evidence of both greater sexual risk for HIV acquisition among TW (versus MSM; more frequent reports of transactional sex, condomless receptive anal intercourse, and multiple partners) and lower medication adherence (per drug concentrations regardless of use of feminizing hormones).30 In our LifeSkills sample, PrEP seemed to be being underused as an HIV prevention strategy among the young TW. Despite 2014, clinical guidelines recommending that PrEP be considered for people who are HIV negative and at substantial risk for the acquisition of HIV infection, including anyone who is in an ongoing sexual relationship with an HIVinfected partner, in the LifeSkills sample 62% had a clinical indication for PrEP, yet only 5% had ever taken PrEP. Clearly, further prioritization and study of PrEP in TW, particularly in context and in concert with behavioral interventions are warranted, as combination biobehavioral approaches may hold the greatest promise for reducing HIV transmission in this high-risk population. As the next generation of behavioral and biobehavioral approaches to reduce HIV risk and transmission among TW are developed it will be important to move beyond grouplevel interventions, which have been the mainstay of efforts to date. Approaches that have shown promise in other populations like MSM such as couples-based approaches54 or the use of social networks55 also warrant consideration among TW. In addition, the use of mobile technology may offer convenient access and privacy to interventions, and present an opportunity to test a method amenable for widespread dissemination,56 which is especially important for a relatively rare, often isolated, and highly stigmatized population such as TW who can be difficult to reach and engage. Finally, given the www.jaids.com |

S223

J Acquir Immune Defic Syndr  Volume 72, Supplement 3, August 15, 2016

Garofalo et al

profound socioeconomic instability—which far-too-often is a social reality for TW—and its influence on the initiation and engagement in high-risk behaviors such as transactional sex, the development of structural approaches such as employment and vocational interventions and initiatives should be strongly considered and prioritized because they may offer the greatest promise at holistically improving the lives of TW, including holding promise for the reduction of HIV transmission. In conclusion, few theory-based behavioral interventions designed to reduce HIV risk or HIV incidence currently exist in the published literature for TW. Given the epidemic that currently exists of HIV infection among this population, there is a critical and urgent need for additional behavioral, biobehavioral, and structural approaches, which target the unique mechanisms of HIV risk for TW and those are grounded in both behavioral theory and the often harsh social realities facing this population.

1. Centers for Disease Control and Prevention (CDC). HIV Among Transgender People. 2015. Available at: http://www.cdc.gov/hiv/group/gender/ transgender/. Accessed December 8, 2015. 2. Baral SD, Poteat T, Stromdahl S, et al. Worldwide burden of HIV in transgender women: a systematic review and meta-analysis. Lancet Infect Dis. 2013;13:214–222. 3. Herbst JH, Jacobs ED, Finlayson TJ, et al. Estimating HIV prevalence and risk behaviors of transgender persons in the United States: a systematic review. AIDS Behav. 2008;12:1–17. 4. Schulden JD, Song B, Barrosb A, et al. Rapid HIV testing in transgender communities by community-based organizations in three cities. Public Health Rep. 2008;123:101–114. 5. Garofalo R, Deleon J, Osmer E, et al. Overlooked, misunderstood and atrisk: exploring the lives and HIV risk of ethnic minority male-to-female transgender youth. J Adolesc Health. 2006;38:230–236. 6. Garofalo R, Osmer E, Sullivan C, et al. Environmental, psychosocial, and individual correlates of HIV risk in ethnic minority male-to-female transgender youth. J HIV/AIDS Prev Child Youth. 2007;7:89–104. 7. Wilson EC, Garofalo R, Harris DR, et al. Sexual risk taking among transgender male-to-female youths with different partner types. Am J Public Health. 2010;100:1500–1505. 8. Reisner SL, Vetters R, White JM, et al. Laboratory-confirmed HIV and sexually transmitted infection seropositivity and risk behavior among sexually active transgender patients at an adolescent and young adult urban community health center. AIDS Care. 2015;27:1031–1036. 9. Smith DK, Herbst JH, Zhang X, et al. Condom effectiveness for HIV prevention by consistency of Use among men who have sex with men in the United States. J Acquir Immune Defic Syndr. 2015;68:337–344. 10. Grossman AH, D’Augelli AR. Transgender youth: invisible and vulnerable. J Homosex. 2006;51:111–128. 11. Koken J, Bimbi DS, Parsons JT. Experiences of familial acceptance– rejection among transwomen of color. J Fam Psychol. 2009;23:853–860. 12. Lombardi E, Wilchins R, Priesing D, et al. Gender violence: transgender experience with violence and discrimination. J Homosex. 2001;42: 89–101. 13. Pardo ST, Schantz K. Growing up Transgender: Safety and Resilience, Part 2. New York, NY: ACT for Youth Center of Excellence, Cornell University; 2008. 14. Kosenko KA. Contextual influences on sexual risk-taking in the transgender community. J Sex Res. 2011;48:285–296. 15. Stieglitz K. Development, risk, and resilience of transgender youth. J Assoc Nurses AIDS Care. 2010;21:192–206. 16. Harawa NT, Bingham TA. Exploring HIV prevention utilization among female sex workers and male-to-female transgenders. AIDS Educ Prev. 2009;21:356–371. 17. Nemoto T, Operario D, Keatley J, et al. HIV risk behaviors among maleto-female transgender persons of color in San Francisco. Am J Public Health. 2004;94:1193–1199.

18. Sevelius JM, Reznick OG, Hart SL, et al. Informing interventions: the importance of contextual factors in the prediction of sexual risk behaviors among transgender women. AIDS Educ Prev. 2009;21: 113–127. 19. Reisner SL, Mimiaga MJ, Bland S, et al. HIV risk and social networks among male-to-female transgender sex workers in Boston, Massachusetts. J Assoc Nurses AIDS Care. 2009;20:373–386. 20. Reisner SL, Bailey Z, Sevelius J. Racial/ethnic disparities in history of incarceration, experiences of victimization, and associated health indicators among transgender women in the U.S. Women Health. 2014;54: 750–767. 21. Brennan J, Kuhns LM, Johnson AK, et al. Syndemic theory and HIVrelated risk among young transgender women: the role of multiple, cooccurring health problems and social marginalization. Am J Public Health. 2012;102:1751–1757. 22. Remien RH, Bauman LJ, Mantell JE, et al. Barriers and facilitators to engagement of vulnerable populations in HIV primary care in New York City. J Acquir Immune Defic Syndr. 2015;69(suppl 1):S16–S24. 23. Santos GM, Wilson EC, Rapues J, et al. HIV treatment cascade among transgender women in a San Francisco respondent driven sampling study. Sex Transm Infect. 2014;90:430–433. 24. Sevelius JM, Carrico A, Johnson MO. Antiretroviral therapy adherence among transgender women living with HIV. J Assoc Nurses AIDS Care. 2010;21:256–264. 25. Sevelius JM, Patouhas E, Keatley JG, et al. Barriers and facilitators to engagement and retention in care among transgender women living with human immunodeficiency virus. Ann Behav Med. 2014; 47:5–16. 26. Sevelius JM, Saberi P, Johnson MO. Correlates of antiretroviral adherence and viral load among transgender women living with HIV. AIDS Care. 2014;26:976–982. 27. Buchbinder SP, Glidden DV, Liu AY, et al. HIV pre-exposure prophylaxis in men who have sex with men and transgender women: a secondary analysis of a phase 3 randomised controlled efficacy trial. Lancet Infect Dis. 2014;14:468–475. 28. Grant RM, Anderson PL, McMahan V, et al. Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: a cohort study. Lancet Infect Dis. 2014; 14:820–829. 29. Grant RM, Lama JR, Anderson PL, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. New Engl J Med. 2010;363:2587–2599. 30. Deutsch MB, Glidden DV, Sevelius J, et al. HIV pre-exposure prophylaxis in transgender women: a subgroup analysis of the iPrEx trial. Lancet HIV. 2015;2:e512–e519. 31. Kuhns LM, Reisner SL, Mimiaga MJ, et al. Correlates of PrEP indication in a multi-site cohort of young HIV-uninfected transgender women. AIDS Behav. Sep 3 2015. doi: 10.1007/s10461-015-1182-z. 32. Wilson EC, Jin H, Liu A, et al. Knowledge, indications and willingness to take pre-exposure prophylaxis among transwomen in San Francisco, 2013. PLoS One. 2015;10:e0128971. 33. Galindo GR, Walker JJ, Hazelton P, et al. Community member perspectives from transgender women and men who have sex with men on pre-exposure prophylaxis as an HIV prevention strategy: implications for implementation. Implement Sci. 2012;7:116. 34. Melendez RM, Exner TA, Ehrhardt AA, et al. Health and health care among male-to-female transgender persons who are HIV positive. Am J Public Health. 2006;96:1034–1037. 35. Bockting WO, Rosser BR, Scheltema K. Transgender HIV prevention: implementation and evaluation of a workshop. Health Educ Res. 1999; 14:177–183. 36. Nemoto T, Operario D, Keatley J, et al. Promoting health for transgender women: transgender resources and neighborhood space (TRANS) program in San Francisco. Am J Public Health. 2005;95:382–384. 37. De Santis JP, Martin CW, Lester A. An educational program on HIV prevention for male-to-female transgender women in south Miami Beach, Florida. The Journal of the Association of Nurses in AIDS Care. 2010;21 (3):265–271. 38. Taylor RD, Bimbi DS, Joseph HA, et al. Girlfriends: evaluation of an HIV-risk reduction intervention for adult transgender women. AIDS Educ Prev. 2011;23:469–478.

S224

Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

REFERENCES

| www.jaids.com

J Acquir Immune Defic Syndr  Volume 72, Supplement 3, August 15, 2016

39. Garofalo R, Johnson AK, Kuhns LM, et al. Life skills: evaluation of a theory-driven behavioral HIV prevention intervention for young transgender women. J Urban Health. 2012;89:419–431. 40. Poteat T, Wirtz AL, Radix A, et al. HIV risk and preventive interventions in transgender women sex workers. Lancet. 2015;385:274–286. 41. Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health. 2010;31:399–418. 42. Glanz K, Rimer BK. Theory at a Glance: A Guide to Health Promotion Practice. Bethesda, MD: National Cancer Institute; 1995. 43. Glanz K, Rimer BK, Viswanath K. Health Behavior and Health Education: Theory, Research, and Practice. 4th ed. San Francisco, CA: Jossey-Bass; 2008. 44. Painter JE, Borba CP, Hynes M, et al. The use of theory in health behavior research from 2000 to 2005: a systematic review. Ann Behav Med. 2008;35:358–362. 45. Kalichman SHH. Efficacy of behavioral–skills enhancement HIV riskreduction interventions in community settings. AIDS. 1997;11(suppl A): S191–S199. 46. Brown LK, DiClemente RJ, Reynolds LA. HIV prevention for adolescents: utility of the Health Belief Model. AIDS Educ Prev. 1991;3:50–59. 47. Rosenstock I, Strecher V, Becker M. The health belief model and HIV risk behavior change. In: DiClemente RJ, Peterson JL, eds. Preventing AIDS: Theories and Methods of Behavioral Interventions. New York, NY: Springer; 1994:5–24.

Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

Behavioral Interventions

48. Celentano DD, DiIorio C, Hartwell T, et al. Social-cognitive theory mediators of behavior change in the National Institute of Mental Health Multisite HIV Prevention Trial. Health Psychol. 2001;20:369–376. 49. Prochaska JO, Redding CA, Harlow LL, et al. The transtheoretical model of change and HIV prevention: a review. Health Educ Q. 1994; 21:471–486. 50. Albarracin D, Johnson BT, Fishbein M, et al. Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychol Bull. 2001;127:142–161. 51. Kalichman SC, Picciano JF, Roffman RA. Motivation to reduce HIV risk behaviors in the context of the Information, Motivation and Behavioral Skills (IMB) model of HIV prevention. J Health Psychol. 2008;13:680–689. 52. Operario D, Nemoto T. HIV in transgender communities: syndemic dynamics and a need for multicomponent interventions. J Acquir Immune Defic Syndr. 2010;55(suppl 2):S91–S93. 53. Sevelius JM. Gender affirmation: a framework for conceptualizing risk behavior among transgender women of color. Sex Roles. 2013;68:675–689. 54. El-Bassel N, Gilbert L, Witte S, et al. Couple-based HIV prevention in the United States: advantages, gaps, and future directions. J Acquir Immune Defic Syndr. 2010;55(suppl 2):S98–S101. 55. Johnson BT, Redding CA, DiClemente RJ, et al. A network-individualresource model for HIV prevention. AIDS Behav. 2010;14(suppl 2):204–221. 56. Schnall R, Travers J, Rojas M, et al. eHealth interventions for HIV prevention in high-risk men who have sex with men: a systematic review. J Med Internet Res. 2014;16:e134.

www.jaids.com |

S225

Behavioral Interventions to Prevent HIV Transmission and Acquisition for Transgender Women: A Critical Review.

Worldwide, transgender women are at disproportionately higher risk of HIV infection, with the primary mode of infection being condomless anal intercou...
101KB Sizes 0 Downloads 8 Views